Publications of Yufeng Liu

 

Current research is supported in part by NSF grant DMS-0747575 and NIH grant R01 CA149569.

The content is solely the responsibility of the authors and does not necessarily represent the official views of the NSF or the NIH/NCI or UNC.

Refereed Journal Publications

 

·      Huang, H., Liu, Y., and Marron, J. S. Bi-directional discrimination with application to data visualization. Biometrika, to appear.

·      Lee, W. and Liu, Y. Simultaneous multiple response regression and inverse covariance matrix estimation via penalized Gaussian maximum likelihood. Journal of Multivariate Analysis, to appear.

·      Huang, H., Lu, X., Liu, Y., Haaland, P., and Marron, J. S. R/DWD: Distance weighted discrimination for classification, visualization and batch adjustment. Bioinformatics, to appear.

·      Wu, Y. and Liu, Y. Adaptively weighted large margin classifiers. Journal of Computational and Graphical Statistics, to appear.

·      Wu, Y. and  Liu, Y.  Functional robust support vector machines for sparse and irregular longitudinal data. Journal of Computational and Graphical Statistics, to appear.

·      Zhang, H. H., Cheng, G. and Liu, Y. (2011). Linear or Nonlinear? Automatic Structure Discovery for Partially Linear Models. Journal of the American Statistical Association, 106, 495, 1099-1112.

·      Liu, Y. and Yuan, M. (2011). Reinforced multicategory support vector machines. Journal of Computational and Graphical Statistics, 20, 4, 901–919.

·      Samarov, D., Marron, J.S., Liu, Y., Grulke, C., and Tropsha, A. (2011). Local kernel canonical correlation analysis with application to virtual drug screening. Annals of Applied Statistics, 5, 3, 2169-2196.

·      Singh D., Orellana C., Hu Y., Jones C. D., Liu Y., Chiang D., Liu J., Prins J. F. (2011). FDM: A Graph-based Statistical Method to Analyze Differential Transcription using RNA-seq data. Bioinformatics, 27, 2633-2640.

·      Liu, Y., Zhang, H. H., and Wu, Y. (2011). Soft or hard classification? Large margin unified machines. Journal of the American Statistical Association, 106, 166-177.

·      Liu, Y. and Wu, Y. (2011). Simultaneous multiple non-crossing quantile regression estimation using kernel constraints. Journal of Nonparametric Statistics, 23, 2, 415-437.

·      Ang, M. K., Patel, M. R.,  Yin, X. Y.,  Fritchie, K.,  Zhao, N., Liu, Y., Wilkerson, M.,  Weissler, M. C.,  Shockley, W.,  Couch,  M. E., Zanation, A. M.,   Hackman, T.,  Chera, B.,   Harris,  S. L.,  Miller,  C. R., Thorne,  L. B., Hayward, M. C.,  Funkhouser, W. K.,  Olshan, A. F.,  Shores, C. G., and Hayes, D. N. (2011). High XRCC1 expression is associated with poorer survival in patients with head and neck squamous cell carcinoma. Clinical Cancer Research, 17, 20, 6542-6552.

·      Fan, C., Prat, A., Parker, J., Liu, Y., Carey, L., Troester, M., and Perou, C. (2011). Building prognostic models for breast cancer patients using clinical variables and hundreds of gene expression signatures. BMC Medical Genomics, 4:3, 1-15.

·      Park, S. Y. and Liu, Y. (2011). Robust penalized logistic regression with truncated loss. The Canadian Journal of Statistics, 39, 2, 300-323.

·      Wu, Y. and Liu, Y. (2011). Non-crossing large-margin probability estimation and its application to robust SVM via preconditioning. Statistical Methodology, 8, 56-67.

·      Qiao, X., Zhang, H. H., Liu, Y., Todd, M. J., and Marron, J. S. (2010). Weighted distance weighted discrimination and its asymptotic properties. Journal of the American Statistical Association, 105, 489, 401-414.

·      Park, S. Y., Liu, Y., Liu, D., and Scholl, P. (2010).  Multicategory composite least-squares classifiers. Statistical Analysis and Data Mining, 3, 4, 272-286.

·      Wu, Y., Zhang, H. H., and Liu, Y. (2010). Robust Model-free Multiclass Probability Estimation. Journal of the American Statistical Association, 105, 489, 424-436.

·      Wilkerson, M. D.,  Yin, X.,  Hoadley, K. A.,  Liu, Y., Hayward, M. C.,  Miller, C. R.,  Randell, S. H.,  Socinksi, M.,  Parsons, A. M.,  Funkhouser, W. K., Lee, C.,  Roberts, P.,   Thorne, L.,  Bernard, P. S., Perou, C. M.,  and Hayes, D. N. (2010). Lung squamous cell carcinoma mRNA expression subtypes are reproducible, clinically-important and correspond to different normal cell types. Clinical Cancer Research, 16, 4864-4875.

·      Liu, Y., Wu, Y., and He, Q. (2010). Utility-based weighted multicategory robust Support Vector Machines. Statistics and Its Interface, 3, 465-476.

·      Zhu, Z. and Liu, Y. (2009). Estimating spatial covariance using penalized likelihood with weighted L1 penalty. Journal of Nonparametric Statistics, 21, 7, 925-942.

·      Qiao, X. and Liu, Y. (2009). Adaptive weighted learning for unbalanced multicategory classification. Biometrics, 65, 159-168.

·      Wu, Y. and Liu, Y. (2009). Stepwise multiple quantile regression estimation using non-crossing constraints. Statistics and Its Interface, 2, 299-310.

·      Park, S. Y. and Liu, Y. (2009). From the support vector machine to the bounded constraint machine. Statistics and Its Interface, 2, 285-298.

·      Wu, Y. and Liu, Y. (2009). Variable selection in quantile regression. Statistica Sinica, 19, 801-817.

·      Liu, Y., Hayes, D. N., Nobel, A., and Marron, J. S. (2008). Statistical significance of clustering for high dimension low sample size data. Journal of the American Statistical Association, 103, 483, 1281-1293.

·      Zhang, H. H., Liu, Y.,  Wu, Y., and Zhu, J. (2008). Variable selection for the multicategory SVM via sup-norm regularization. Electronic Journal of Statistics, 2, 149-167.

·      Wang, J., Shen, X., and Liu, Y. (2008). Probability estimation for large margin classifiers. Biometrika, 95, 1, 149-167.

·      Liu, Y. (2008). Discussion of “Sure independence screening for ultrahigh dimensional feature space” by Fan and Lv, Journal of Royal Statistical Society, Series B, 70, 898-899.

·      Liu, Y. and Wu, Y. (2007). Variable selection via a combination of the L0 and L1 penalties. Journal of Computational and Graphical Statistics, 16, 4, 782-798.

·      Wu, Y. and Liu, Y. (2007). Robust truncated-hinge-loss support vector machines. Journal of the American Statistical Association, 102, 479, 974-983.

·      Li, Y., Liu, Y., and Zhu, J. (2007). Quantile regression in Reproducing Kernel Hilbert Spaces. Journal of the American Statistical Association, 102, 477, 255-268.

·      Liu, Y., Ruan, S., and Dean, A. M. (2007). Construction and analysis of Es­2 efficient supersaturated designs. Journal of Statistical Planning and Inference, 137, 5,1516-1529.

·      Liu, Y., Zhang, H. H., Park, C., and Ahn, J. (2007). Support Vector Machines with adaptive Lq penalties. Computational Statistics and Data Analysis, 51, 12, 6380-6394.

·      Alcorta, D., Barnes, D. A.,  Dooley, M. A., Sullivan, P., Jonas, B., Liu, Y., Lionaki, S., Reddy, C. B., Chin, H., Dempsey, A. A., Jennette, J. C., and Falk, R. J. (2007). Leukocyte Gene Expression Signatures in Antineutrophil Cytoplasmic Autoantibody (ANCA) and Lupus Glomerulonephritis, Kidney International, 72, 853-864.

·      Liu, Y. and Wu, Y. (2006). Optimizing psi-learning via mixed integer programming. Statistica Sinica, 16, 2, 441-457.

·      Liu, Y. and Shen, X. (2006). Multicategory psi-learning. Journal of the American Statistical Association, 101, 474, 500-509.

·      Liu, Y., Shen, X., and Doss, H. (2005). Multicategory psi-learning and support vector machine: computational tools. Journal of Computational and Graphical Statistics, 14, 1, 219-236.

·      Liu, Y. and Dean, A. M. (2004). k-circulant supersaturated designs. Technometrics, 46, 1, 32-43.

Refereed Conference Proceedings

·      Liu, Y. (2007). Fisher consistency of multicategory support vector machines. Eleventh International Conference on Artificial Intelligence and Statistics, 289-296.

·      Wu, Y. and Liu, Y. (2007). On Multicategory Truncated-Hinge-Loss Support Vector Machines. Contemporary Mathematics, 443, 49-58.

·      Liu, Y.,  Zhang, H. Hao, Park, C., and Ahn, J. (2007). The Lq support vector machine. Contemporary Mathematics, 443, 35-48.